Although the MIT-BIH Arrhythmia dataset [1]} is centered around arrhythmia detection, this dataset has been used to benchmark biometric authentication accuracy in several works. This dataset contains ECG signals from 47 subjects suffering from a wide variety of arrhythmias. The recordings were digitized at 360 Hz sampling rate with 11-bit resolution over 10 mV range of signals. The ECG signals were recorded in two channels, however, only the first channel was used for this study.
